J. Randall Flanagan

18.8k total citations · 6 hit papers
140 papers, 12.9k citations indexed

About

J. Randall Flanagan is a scholar working on Cognitive Neuroscience, Social Psychology and Biomedical Engineering. According to data from OpenAlex, J. Randall Flanagan has authored 140 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Cognitive Neuroscience, 59 papers in Social Psychology and 55 papers in Biomedical Engineering. Recurrent topics in J. Randall Flanagan's work include Motor Control and Adaptation (114 papers), Action Observation and Synchronization (57 papers) and Muscle activation and electromyography studies (54 papers). J. Randall Flanagan is often cited by papers focused on Motor Control and Adaptation (114 papers), Action Observation and Synchronization (57 papers) and Muscle activation and electromyography studies (54 papers). J. Randall Flanagan collaborates with scholars based in Canada, United Kingdom and Sweden. J. Randall Flanagan's co-authors include Roland S. Johansson, Daniel M. Wolpert, Alan M. Wing, Jörn Diedrichsen, Jason P. Gallivan, Christine Tong, Göran Westling, Paul M. Bays, Zoubin Ghahramani and Ashwini K. Rao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

J. Randall Flanagan

135 papers receiving 12.6k citations

Hit Papers

Coding and use of tactile signals from the finger... 1997 2026 2006 2016 2009 2001 2011 2001 1997 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Coding and use of tactile signals from the fingertips in object manipulation tasks
    2009 1.4k citations Roland S. Johansson, J. Randall Flanagan profile →
  2. Motor prediction
    2001 908 citations Daniel M. Wolpert, J. Randall Flanagan profile →
  3. Principles of sensorimotor learning
    2011 908 citations Daniel M. Wolpert, J. Randall Flanagan et al. profile →
  4. Eye–Hand Coordination in Object Manipulation
    2001 653 citations Roland S. Johansson, J. Randall Flanagan et al. Journal of Neuroscience profile →
  5. The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads
    1997 541 citations J. Randall Flanagan, Alan M. Wing Journal of Neuroscience profile →
  6. Action plans used in action observation
    2003 514 citations J. Randall Flanagan, Roland S. Johansson profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Randall Flanagan Canada 53 10.9k 4.6k 4.3k 1.4k 988 140 12.9k
Gregor Schöner Germany 61 9.8k 0.9× 3.8k 0.8× 3.3k 0.8× 1.7k 1.2× 944 1.0× 211 13.2k
Roland S. Johansson Sweden 72 16.7k 1.5× 10.7k 2.3× 3.2k 0.8× 1.1k 0.8× 1.8k 1.8× 150 21.8k
Tamar Flash Israel 47 7.2k 0.7× 4.7k 1.0× 2.3k 0.5× 615 0.4× 2.6k 2.6× 127 11.0k
Reza Shadmehr United States 72 17.6k 1.6× 7.2k 1.6× 6.0k 1.4× 1.8k 1.3× 705 0.7× 157 20.8k
Emilio Bizzi United States 66 13.9k 1.3× 8.9k 1.9× 2.9k 0.7× 796 0.6× 1.6k 1.6× 137 18.1k
Alan M. Wing United Kingdom 50 6.6k 0.6× 2.5k 0.5× 1.9k 0.4× 545 0.4× 464 0.5× 208 9.0k
R. Chris Miall United Kingdom 60 12.2k 1.1× 2.3k 0.5× 3.9k 0.9× 1.3k 0.9× 342 0.3× 199 15.7k
Francesco Lacquaniti Italy 74 11.6k 1.1× 8.6k 1.9× 3.0k 0.7× 1.1k 0.8× 762 0.8× 294 18.4k
Karl M. Newell United States 63 8.8k 0.8× 5.2k 1.1× 2.9k 0.7× 3.0k 2.1× 293 0.3× 415 15.4k
John F. Soechting United States 50 6.8k 0.6× 3.6k 0.8× 1.5k 0.4× 423 0.3× 1.1k 1.1× 129 8.4k

Countries citing papers authored by J. Randall Flanagan

Since Specialization
Citations

This map shows the geographic impact of J. Randall Flanagan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Randall Flanagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Randall Flanagan more than expected).

Fields of papers citing papers by J. Randall Flanagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Randall Flanagan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Randall Flanagan. The network helps show where J. Randall Flanagan may publish in the future.

Co-authorship network of co-authors of J. Randall Flanagan

This figure shows the co-authorship network connecting the top 25 collaborators of J. Randall Flanagan. A scholar is included among the top collaborators of J. Randall Flanagan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Randall Flanagan. J. Randall Flanagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Areshenkoff, Corson N., et al.. (2025). Contractions in Human Cerebellar-Cortical Manifold Structure Underlie Motor Reinforcement Learning. Journal of Neuroscience. 45(18). e2158242025–e2158242025. 1 indexed citations
2.
Rezaei, Ali, Corson N. Areshenkoff, Daniel J. Gale, et al.. (2025). Transfer of motor learning is associated with patterns of activity in the default mode network. PLoS Biology. 23(8). e3003268–e3003268.
3.
Flanagan, J. Randall, et al.. (2023). Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties. Scientific Reports. 13(1). 8619–8619. 1 indexed citations
4.
Gallivan, Jason P., et al.. (2023). Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise. PLoS Computational Biology. 19(11). e1011596–e1011596.
5.
Fooken, Jolande, et al.. (2022). The influence of movement-related costs when searching to act and acting to search. Journal of Neurophysiology. 129(1). 115–130. 6 indexed citations
6.
Gale, Daniel J., Corson N. Areshenkoff, Dominic Standage, et al.. (2022). Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation. Proceedings of the National Academy of Sciences. 119(52). e2209960119–e2209960119. 12 indexed citations
7.
Standage, Dominic, Corson N. Areshenkoff, Daniel J. Gale, et al.. (2022). Whole-brain dynamics of human sensorimotor adaptation. Cerebral Cortex. 33(8). 4761–4778. 14 indexed citations
8.
Areshenkoff, Corson N., Daniel J. Gale, Dominic Standage, et al.. (2022). Neural excursions from manifold structure explain patterns of learning during human sensorimotor adaptation. eLife. 11. 13 indexed citations
9.
Gale, Daniel J., J. Randall Flanagan, & Jason P. Gallivan. (2021). Human Somatosensory Cortex Is Modulated during Motor Planning. Journal of Neuroscience. 41(27). 5909–5922. 39 indexed citations
10.
Gale, Daniel J., et al.. (2020). Human decision making anticipates future performance in motor learning. PLoS Computational Biology. 16(2). e1007632–e1007632. 7 indexed citations
11.
Gale, Daniel J., et al.. (2020). Motor Planning Modulates Neural Activity Patterns in Early Human Auditory Cortex. Cerebral Cortex. 31(6). 2952–2967. 14 indexed citations
12.
Brouwer, Anouk J. de, et al.. (2018). Using gaze behavior to parcellate the explicit and implicit contributions to visuomotor learning. Journal of Neurophysiology. 120(4). 1602–1615. 36 indexed citations
13.
Brouwer, Anouk J. de, Jason P. Gallivan, & J. Randall Flanagan. (2018). Visuomotor feedback gains are modulated by gaze position. Journal of Neurophysiology. 120(5). 2522–2531. 16 indexed citations
14.
Gallivan, Jason P., Craig S. Chapman, Daniel J. Gale, J. Randall Flanagan, & Jody C. Culham. (2018). Selective Modulation of Early Visual Cortical Activity by Movement Intention. Cerebral Cortex. 29(11). 4662–4678. 33 indexed citations
15.
Heald, James B., James N. Ingram, J. Randall Flanagan, & Daniel M. Wolpert. (2018). Multiple motor memories are learned to control different points on a tool. Nature Human Behaviour. 2(4). 300–311. 39 indexed citations
16.
Brouwer, Anouk J. de, et al.. (2017). Parallel Specification of Visuomotor Feedback Gains during Bimanual Reaching to Independent Goals. eNeuro. 4(2). ENEURO.0026–17.2017. 10 indexed citations
17.
Hutchison, R. Matthew, Jody C. Culham, Stefan Everling, J. Randall Flanagan, & Jason P. Gallivan. (2014). Distinct and distributed functional connectivity patterns across cortex reflect the domain-specific constraints of object, face, scene, body, and tool category-selective modules in the ventral visual pathway. NeuroImage. 96. 216–236. 77 indexed citations
18.
Armstrong, Irene T., et al.. (2013). Waiting for a hand: saccadic reaction time increases in proportion to hand reaction time when reaching under a visuomotor reversal. Frontiers in Human Neuroscience. 7. 319–319. 12 indexed citations
19.
Flanagan, J. Randall, et al.. (2006). Control strategies in object manipulation tasks. Current Opinion in Neurobiology. 16(6). 650–659. 327 indexed citations
20.
Flanagan, J. Randall & Alan M. Wing. (1993). Modulation of grip force with load force during point-to-point arm movements. Experimental Brain Research. 95(1). 91–92. 289 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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